Introduction: The Center for System Reliability has developed
methodologies and software tools to address a wide range of reliability problems. These tools and techniques have been applied in diverse application areas ranging from nuclear power and missile systems to
aviation, automotive, and manufacturing. We have the tools and the experience to help address reliability problems throughout a product's life cycle.
Design for Reliability We believe
that reliability should be designed and built into products at the earliest possible stages of product development. As most of a product's life cycle cost has been locked in by the time its design is complete,
designing for reliability is the most economically sound approach to take.
Reliability Allocation Reliability allocation is the process of specifying a level of reliability for each subsystem or module in a system so as to achieve a system reliability
objective. This process should be performed early in the design cycle to guide designers in choosing components, materials, and a design topology that will meet system objectives.
Reliability Optimization It is not uncommon for a company to have 10, 20, or more
engineering projects in progress at any one time for a given piece of equipment or product line. In this situation it is important to conduct trade-off studies to prioritize potential product modifications.
The best approach to this problem is to use optimization methods to find the combination of modifications in terms of the largest increase in reliability for the lowest cost.
Reliability Prediction Reliability prediction involves estimating the reliability
of equipment or products prior to their production or modification. The Center for System Reliability has conducted several reliability prediction studies for both industry and government customers Fault Tree Analysis
Fault tree analysis is a logical, structured process that can help identify
potential causes of system failure before the failures actually occur. Fault trees are powerful design tools that can help ensure that product performance objectives are met.
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